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Market research & signal discovery
Trade the mechanism, not the narrative.
Whalur hunts for repeatable, statistically significant market mechanisms —
behaviors that produce positive expected value across many securities and
market conditions — and turns them into ranked, explainable signals.
Every signal is scored by historical expected value — not win rate, hype, or gut feel.
Thousands of hypothesis variations tested against historical replays before anything goes live.
Only mechanisms that survive robustness testing across regimes, sectors, and volatility ever reach you.
Run any hypothesis across the whole universe and see expected value per trade, consistency and trade frequency — then the ranked table of what actually works.
You've felt it: a setup that worked twice becomes a strategy, a pundit's
conviction becomes your position, and a backtest tuned to one lucky year
becomes your account's worst month.
Noise dressed as signal
News, chart patterns, and hot takes feel actionable, but few survive honest measurement. Trading them is paying for randomness.
Overfit backtests
A strategy optimized on one stock in one regime collapses the moment conditions change. Curve-fitting isn't research — it's rehearsal for a loss.
Win rate worship
A 70% win rate with ugly losers still bleeds money. The only number that compounds in your favor is expected value — and almost nobody measures it.
The solution
Whalur asks a better question.
Not “what stock should I buy?” but “what measurable market behavior is
occurring right now, and what has history demonstrated is the
highest-expected-value response?”
Mechanism discovery
A hypothesis engine generates and evaluates thousands of parameterized strategy variations — order-flow continuation, exhaustion, liquidity imbalance, mean reversion, and more — against historical market replays.
Robustness before deployment
Candidate mechanisms must hold up across bull and bear markets, sectors, market caps, volatility regimes, and execution-cost assumptions. Whatever fails is discarded — before it costs anyone money.
Ranked, explainable signals
Live signals arrive with a confidence score, the historical EV of similar setups, and the reasoning behind them — so you always know why, not just what.
How it works
From raw market behavior to a signal you can trust.
Observe
Whalur continuously measures a curated research universe of ~60 representative stocks: relative volume, VWAP distance, liquidity, persistence, volatility, and dozens of other reusable features.
Hypothesize & test
The hypothesis engine runs each candidate mechanism through historical replays — long and short, multiple entries and exits, position-management variants — and measures expected value, not anecdotes.
Stress
Survivors are re-tested across market cycles, sectors, capitalizations, and cost assumptions. Only mechanisms that stay positive everywhere advance to live monitoring.
Signal & learn
Validated mechanisms are monitored in real time. Every alert is scored, explained, archived, and fed back into research — so the system gets sharper with every trade it observes.
Built like research, not like a tip sheet
Statistical evidence over intuition. Always.
Whalur's guiding principles are non-negotiable: expected value over win
rate, robustness over optimization, repeatability over isolated success,
and universal mechanisms over ticker-specific folklore.
“Rather than asking what stock to buy, we ask what measurable behavior is happening right now — and what history says is the highest-EV response.”
1,000shypothesis variations evaluated per mechanism
~60stocks in the initial research universe
100%of live signals archived for future research
—validated mechanisms
Our promise: no signal ships until its mechanism has survived robustness
testing — and every live signal is tracked against its historical
expectations, in the open, inside your dashboard.
FAQ
Fair questions, straight answers.
Is Whalur a stock-picking service?
No. Whalur is a research platform that discovers and validates market mechanisms. When those mechanisms fire in live markets, you get ranked, explained signals — the evidence, not just a ticker.
What does “expected value over win rate” actually mean?
A strategy that wins 40% of the time can be highly profitable if winners outweigh losers. Whalur measures the average outcome per trade across many samples — the number that actually compounds — instead of chasing high win rates that hide fat losses.
Does Whalur trade for me?
The roadmap includes Alpaca integration for paper trading and automated execution with position sizing and risk controls. Execution always remains driven by validated research — never discretionary calls.
What does it cost?
Whalur is free while in research preview. Create an account, follow the research as it develops, and lock in early access before signal delivery launches.
Is this financial advice?
No. Whalur provides research and statistical measurements of market behavior. All trading involves risk, and you are responsible for your own decisions.
Published in the open
Every signal we detect is written up and published the same second.
The asset, the footprint that gave the whale away, the size of the
move, the timestamp and a plain-English read of what it means — public,
for anyone, no editor in the loop. The exact entry, stop and target are
the part that comes with an account.
One email a day. The three highest-conviction whale moves the monitor
detected, what Whalur's call on each one is, and a link straight to
the full entry, stop and target. Three moves and the calls behind
them — nothing else.
